Business School, University of Jinan, China.
Business School, University of Jinan, China; Institute of Green Development, University of Jinan, China.
J Environ Manage. 2023 Nov 1;345:118831. doi: 10.1016/j.jenvman.2023.118831. Epub 2023 Aug 17.
Energy structure and industrial structure are two crucial economic factors affecting carbon emissions. However, current research often examines them separately, neglecting the potential additional synergistic effect between them. Leveraging the coupling concept from physics, we objectively quantify these synergistic effect and investigate influencing factors on CO intensity from a novel perspective of the synergy by combining a coupling coordination model with econometric model of generalized method of moments (GMM) with a panel dataset from China spanning 2007 to 2019. Our estimates indicate that (1) synergy of energy and industrial structures significantly reduces carbon intensity, which is stable after a series of robust check. (2) the reduced effect of synergy can be enlarged by enhancing environmental regulation and green innovation. (3) the inhibiting effect of synergy is significant, mainly occurs in regions with abundant energy resource endowments. Correspondingly, we recommend several policy implications for China and other developing countries.
能源结构和产业结构是影响碳排放的两个关键经济因素。然而，当前的研究往往分别考察它们，忽略了它们之间潜在的额外协同效应。借鉴物理学中的耦合概念，我们利用中国 2007 年至 2019 年的面板数据集，通过耦合协调模型与广义矩估计（GMM）的计量经济学模型相结合，从协同的新视角客观地量化了这种协同效应及其对 CO 强度的影响因素。我们的估计表明：（1）能源和产业结构的协同作用显著降低了碳强度，并且在经过一系列稳健性检验后仍然稳定。（2）加强环境监管和绿色创新可以放大协同的减排效果。（3）协同的抑制效应显著，主要发生在能源资源禀赋丰富的地区。相应地，我们为中国和其他发展中国家提出了一些政策建议。
